The Python Programming & Git Certification Bundle

2 Reviews
246 Enrolled
9 Courses & 29 Hours
$28.99$1,800.00
You save 98% -

What's Included

Python Programming for Beginners: Hands-On (Online Lab)
  • Certification included
  • Experience level required: Beginner
  • Access 118 lectures & 12 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

118 Lessons (12h)

  • Your First Program
  • Welcome
    Overview2:09
    To Get Best Out Of This Course1:49
    Why Learn Python?2:30
  • Python Development Environment Setup
    Overview0:55
    Editors and IDEs3:24
  • Python - Absolute Basics
    Overview1:45
    History & Versions2:46
    Whitespaces3:23
    "Hello World!" - Program1:45
    Running Python Script from Linux Terminal4:01
    REPL5:14
    Comments3:10
    PythonFund 03.08 Python.org3:00
  • Variables, Datatypes & Built-in Functions
    Overview1:51
    Variables and Assignments - Part 110:16
    Variables and Assignments - Part 26:03
    Build-in Datatypes3:42
    Mutable & Immutable8:05
    Operators - Part 19:23
    Operators - Part 23:51
    Operators - Part 314:54
    Built-in Functions3:30
    Zen Of Python4:44
    input Statement5:09
    Type Conversion14:32
    print function12:15
  • Conditional Statement & Loops
    Introduction to "if" statement4:22
    "if" Statement - Part 19:58
    "if" Statement - Part 210:47
    "while" loop - Introduction2:07
    "while" loop - Hands-on5:22
    Introduction to "continue" & "break" Statements3:17
    Control loops with "continue" & "break" Statements7:12
    "for" loop - The king of loops!2:49
  • Working with Lists
    Overview
    Working with lists - Part 16:08
    Working with lists - Part 26:23
    Working with lists - Part 32:31
    Working with lists - Part 44:12
    Working with lists - Part 58:22
    Working with lists - Part 66:26
    Working with lists - Part 76:09
    Working with lists - Part 86:38
    Working with lists - Part 92:51
  • Working with Tuples
    Overview
    Working with Tuples - Part 19:46
    Working with Tuples - Part 27:18
    Working with Tuples - Part 35:11
    Working with Tuples - Part 45:58
  • Working with Sets
    Overview
    Working with Sets - Part 18:25
    Working with Sets - Part 212:26
    Working with Sets - Part 3 (Union & Intersection)6:18
    Working with Sets - Part 4 (diff & symdiff)5:16
    Working with Sets - Part 53:22
    Working with Sets - Part 6 (built-in functions)7:41
    Working with Sets - Part 7 (frozenset)4:05
  • Working with Dictionaries
    Introduction to dictionary datatype2:22
    Working with Dictionaries - Part 15:57
    Working with Dictionaries - Part 214:07
    Working with Dictionaries - Part 36:08
    Working with Dictionaries - Part 412:20
    Working with Dictionaries - Part 56:46
    Working with Dictionaries - Part 66:01
    Working with Dictionaries - Part 711:22
  • Working with strings
    Overview
    Working with strings - Part 111:33
    Working with strings - Part 23:50
    Working with strings - Part 317:44
    Working with strings - Part 48:51
    Working with strings - Part 59:30
  • Functions
    Overview
    Functions Basics5:05
    Function Parameters6:38
    Function Parameters Advanced - Part 19:24
    Function Parameters Advanced - Part 26:15
    Returning values5:22
    Small Project14:04
    Local & Global Variables10:17
  • Modules & Packages
    What is a module?6:45
    Importing a module - PyCharm3:50
    Importing a module - REPL (Python Console)1:59
    Creating a simple module5:10
    Where does Python look for modules?8:23
    dir()11:34
    name & main 13:56
    Packages - Part 111:02
    Packages - Part 28:43
    Packages - Part 34:25
    Using docstrings4:30
  • Debugging
    Overview
    Debugging - Part 110:28
    Debugging - Part 25:29
  • Working with Files (FileIO)
    Overview
    Writing to a file9:15
    Appending to a file3:46
    Reading a file9:34
    Reading & Writing to a csv file8:25
    Reading & Writing to a binary file5:22
  • Handling Exceptions
    Module Overview1:01
    Handling "string" exceptions7:44
    Handling "list" exceptions7:17
    Handling "file" exceptions10:16
    Raising Exceptions3:21
  • Working With Numbers
    Module Overview
    Working with Numbers - Part 15:16
    Working with Numbers - Part 2 (math module)8:21
    Working with Numbers - Part 3 (Formatting Numbers)14:27
    Working with Numbers - Part 4 (Floats & Decimals)8:12
  • Work With Dates & Times
    Module Overview
    Current date & time2:30
    Extracting date & time related information16:29
    Creating datetime objects5:33
    Parsing strings for date & time10:36
    Formatting date & time output2:40
    Timespan13:06
  • Miscellaneous & Additional Resources
    Windows 10 - Python & PyCharm Setup8:57
  • Conclusion
    Next Steps!

Python Programming for Beginners: Hands-On (Online Lab)

CG
Coding Gears

Coding Gears | Technology Architect

4.3/5 Instructor Rating: ★ ★ ★ ★ ★ ★


Coding Gears offers self-paced technical courses and makes it easy to learn. They have been in the IT training business for many years offering training courses in Unix, Windows, C#, Java, Python Programming, SQL Server, Manual Testing, Automation, etc. technologies.

Coding Gears instructors have 20+ years of experience in various technical areas - Software Development, Software Testing, Windows Systems & Network Administration, Unix/Linux Systems & Network Administration, Virtualization Technologies, Storage, Shell Scripting, Database Management Systems (MS SQL Server, MySQL, IBM DB2, Cassandra), Containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster File System, CoreOS, Ansible & other areas.

Coding Gears had mentored thousands of students in the last 10+ years and has extensive experience in delivering training – both in-class and online.

Description

Python Programming is easy to learn! Spare some time and you will be well on your way to becoming an expert! The course starts with an introduction to OOP concepts and then gradually proceeds towards giving you a detailed insight into OOPs concepts. You will find out what is abstraction, encapsulation, inheritance, and polymorphism in OOP in detail. By the end of this course, you will be well-versed with Python OOP and will have developed the skills to write clean Python code and take your Python skills to the next level.

4.0/5 average rating: ★ ★ ★ ★ ★ ★

  • Access 181 lectures & 15 hours of content 24/7
  • Familiarize yourself with Python programming concepts & datatypes
  • Work with different datatypes: Strings, Lists, Dictionaries, Sets, & more
  • Work with CSV files
  • Create & work packages and sub packages
  • Manage Python packages using "pip"
  • Create & work with Python Virtual Environments using "virtualenv" & "virtualenvwrapper

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Certificate of completion included
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specification

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.